awesome-nlp-note

A curated list of resources dedicated to NLP (paper, blogs, note and etc)
https://github.com/eagle705/awesome-nlp-note

Last synced: 6 days ago
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Libraries
- Annotation Tools
  - LightTag - Hosted and managed text annotation tool for teams, costs $
  - Label Studio - source, configurable data annotation tool. Its purpose is to enable you to label different types of data using the most convenient interface with a standardized output format.
  - LIDA: Lightweight Interactive Dialogue Annotator (in EMNLP 2019) - LIDA is an open source dialogue annotation system which supports the full pipeline of dialogue annotation from dialogue / turn segmentation from raw text
  - Anafora - based raw text annotation tool
  - brat - brat rapid annotation tool is an online environment for collaborative text annotation
  - GATE - General Architecture and Text Engineering is 15+ years old, free and open source
  - tagtog
  - prodigy
  - rstWeb - open source local or online tool for discourse tree annotations
  - GitDox - open source server annotation tool with GitHub version control and validation for XML data and collaborative spreadsheet grids
- Videos and Online Courses
  - spaCy - Industrial strength NLP with Python and Cython :+1:
  - textacy - Higher level NLP built on spaCy
  - scattertext - Python library to produce d3 visualizations of how language differs between corpora
  - GluonNLP - A deep learning toolkit for NLP, built on MXNet/Gluon, for research prototyping and industrial deployment of state-of-the-art models on a wide range of NLP tasks.
  - AllenNLP - An NLP research library, built on PyTorch, for developing state-of-the-art deep learning models on a wide variety of linguistic tasks.
  - PyTorch-NLP - NLP research toolkit designed to support rapid prototyping with better data loaders, word vector loaders, neural network layer representations, common NLP metrics such as BLEU
  - Rosetta - Text processing tools and wrappers (e.g. Vowpal Wabbit)
  - PyNLPl - Python Natural Language Processing Library. General purpose NLP library for Python. Also contains some specific modules for parsing common NLP formats, most notably for [FoLiA](https://proycon.github.io/folia/), but also ARPA language models, Moses phrasetables, GIZA++ alignments.
  - jPTDP - A toolkit for joint part-of-speech (POS) tagging and dependency parsing. jPTDP provides pre-trained models for 40+ languages.
  - BigARTM - a fast library for topic modelling
  - Snips NLU - A production ready library for intent parsing
  - Chazutsu - A library for downloading&parsing standard NLP research datasets
  - Word Forms - Word forms can accurately generate all possible forms of an English word
  - Multilingual Latent Dirichlet Allocation (LDA) - A multilingual and extensible document clustering pipeline
  - Kashgari - Simple, Keras-powered multilingual NLP framework, allows you to build your models in 5 minutes for named entity recognition (NER), part-of-speech tagging (PoS) and text classification tasks. Includes BERT and word2vec embedding.
  - gensim - Python library to conduct unsupervised semantic modelling from plain text :+1:
Blogs & Youtube
GitHub
NLP in Korean
- Libraries
  - KoalaNLP - Scala library for Korean Natural Language Processing.
  - Mecab (Korean) - C++ library for Korean NLP
- Datasets
  - NER dataset from 한국해양대학교 자연언어처리연구실
  - conversational-AI-atasets(영어 대화 데이터셋)
  - Korean WordNet
  - KAIST Corpus - A corpus from the Korea Advanced Institute of Science and Technology in Korean.
  - Chosun Ilbo archive - dataset in Korean from one of the major newspapers in South Korea, the Chosun Ilbo.
  - PAWS and PAWS-X: Two New Datasets to Improve Natural Language Understanding Models_( Paraphrase Adversaries from Word Scrambling)
Tutorials
- Videos and Online Courses
  - Deep Natural Language Processing - Lectures series from Oxford
  - Intro to Artificial Intelligence - Udacity course which touches upon NLP as well
  - Deep Learning for Natural Language Processing (cs224-n) - Richard Socher and Christopher Manning's Stanford Course
  - Neural Networks for NLP - Carnegie Mellon Language Technology Institute there
Research Summaries and Trends
- NLP-Overview - to-date overview of deep learning techniques applied to NLP, including theory, implementations, applications, and state-of-the-art results. This is a great Deep NLP Introduction for researchers.
- NLP-Progress - of-the-art for the most common NLP tasks
- NLP's ImageNet moment has arrived
- Four deep learning trends from ACL 2017. Part One: Linguistic Structure and Word Embeddings
- Four deep learning trends from ACL 2017. Part Two: Interpretability and Attention
- Survey of the State of the Art in Natural Language Generation
- ACL 2018 Highlights: Understanding Representation and Evaluation in More Challenging Settings
Environment
- Docker

Programming Languages

Python 31 Jupyter Notebook 6 JavaScript 2 C++ 2 Kotlin 1 Shell 1 HTML 1 SCSS 1 C 1

ecosyste.ms

Data

Tools

Indexes

Applications

Experiments

Awesome

awesome-nlp-note

Libraries

Annotation Tools

Videos and Online Courses

Blogs & Youtube

GitHub

NLP in Korean

Libraries

Datasets

Tutorials

Videos and Online Courses

Research Summaries and Trends

Environment